An improved YOLOv5-based underwater object-detection framework

J Zhang, J Zhang, K Zhou, Y Zhang, H Chen, X Yan - Sensors, 2023 - mdpi.com
To date, general-purpose object-detection methods have achieved a great deal. However,
challenges such as degraded image quality, complex backgrounds, and the detection of …

Research on Underwater small target Detection Algorithm based on improved YOLOv7

W Yi, B Wang - IEEE Access, 2023 - ieeexplore.ieee.org
Target detection research has always been difficult when it comes to small target detection
in underwater situations. To address the issues of a high miss detection rate and poor …

YOLOv5s-Fog: an improved model based on YOLOv5s for object detection in foggy weather scenarios

X Meng, Y Liu, L Fan, J Fan - Sensors, 2023 - mdpi.com
In foggy weather scenarios, the scattering and absorption of light by water droplets and
particulate matter cause object features in images to become blurred or lost, presenting a …

DSW-YOLOv8n: A new underwater target detection algorithm based on improved YOLOv8n

Q Liu, W Huang, X Duan, J Wei, T Hu, J Yu, J Huang - Electronics, 2023 - mdpi.com
Underwater target detection is widely used in various applications such as underwater
search and rescue, underwater environment monitoring, and marine resource surveying …

STAE‐YOLO: Intelligent detection algorithm for risk management of construction machinery intrusion on transmission lines based on visual perception

C Ji, F Zhang, X Huang, Z Song, W Hou… - IET Generation …, 2024 - Wiley Online Library
The distribution of transmission lines is complex, influenced by terrain and topography,
making their maintenance and management challenging. With the advancement of global …

Machine Vision Applications for Welfare Monitoring in Aquaculture: Challenges and Opportunities

A Fitzgerald, CC Ioannou, S Consuegra… - … , Fish and Fisheries, 2025 - Wiley Online Library
Increasing consideration of welfare in aquaculture has prompted interest in non‐invasive
methods of monitoring that avoid unnecessary stress and handling. Machine vision (MV) …

Lightweight enhanced YOLOv8n underwater object detection network for low light environments

J Ding, J Hu, J Lin, X Zhang - Scientific Reports, 2024 - nature.com
In response to the challenges of target misidentification, missed detection, and other issues
arising from severe light attenuation, low visibility, and complex environments in current …

[HTML][HTML] Enhanced YOLOv7 for Improved Underwater Target Detection

D Lu, J Yi, J Wang - Journal of Marine Science and Engineering, 2024 - mdpi.com
Aiming at the problems of the underwater existence of some targets with relatively small
size, low contrast, and a lot of surrounding interference information, which lead to a high …

Underwater small and occlusion object detection with feature fusion and global context decoupling head-based yolo

L Deng, S Luo, C He, H **ao, H Wu - Multimedia Systems, 2024 - Springer
The underwater light scattering, absorption, and camera or target moving often bring issues
such as blurring, distortion, and color deviation in underwater imaging, which poses …

[HTML][HTML] UWV-Yolox: a deep learning model for underwater video object detection

H Pan, J Lan, H Wang, Y Li, M Zhang, M Ma, D Zhang… - Sensors, 2023 - mdpi.com
Underwater video object detection is a challenging task due to the poor quality of
underwater videos, including blurriness and low contrast. In recent years, Yolo series …